Workflow including meta-analysis and bioinformatics pipeline.

Gene expression datasets of PDAC and pancreatic cancer were obtained from the GEO. The datasets were normalized and processed to identify differentially expressed genes (DEGs) between normal and tumor tissues. The significantly enriched pathways and Gene Ontology were identified through enrichment analyses. Conserved motifs and consensus cis-regulatory elements (CREs) of DEGs were detected. The WGCNA was used to cluster genes with the highest connection and identification of co-expression modules.